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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 9025
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    INDEX
    Explanations

    technical information or bullet points

    oai_token-act-pair · gpt-3.5-turbo

    the absence of specific issues or problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illon
    -0.80
    rod
    -0.70
    roc
    -0.67
    Gall
    -0.62
    romy
    -0.62
    grad
    -0.62
     multiplying
    -0.61
     rise
    -0.61
    ulative
    -0.61
    Pope
    -0.60
    POSITIVE LOGITS
    theless
    0.94
     Detected
    0.93
    None
    0.88
     endif
    0.87
    etheless
    0.87
    ecided
    0.83
    igue
    0.74
     None
    0.73
    uther
    0.71
     Marketable
    0.71
    Activations Density 0.007%

    No Known Activations